HUBEI AGRICULTURAL SCIENCES ›› 2019, Vol. 58 ›› Issue (6): 58-69.doi: 10.14088/j.cnki.issn0439-8114.2019.06.014

• Resource & Environment • Previous Articles     Next Articles

Study on the effect of the landscape pattern on the thermal environment in Chengdu

LIU Yang, GU Ji-rong, PAN Hong-jun   

  1. College of Faculty Geography Resource Science,Sichuan Normal University,Chengdu 610101,China
  • Received:2018-12-22 Online:2019-03-25 Published:2019-12-03

Abstract: Obtaining the land cover data from the Landsat-8 TIRS-OLI data on Aug 13 in 2014 and the surface temperature based on universality single channel algorithm, the relationship between the urban landscape pattern and the thermal environment were analysed. The results showed that the temperature of the second ring layer was generally lower than that of the first ring layer in Chengdu, and the temperature of each administrative region showed as high temperature discrete distribution, while that of the first ring layer showed as high temperature concentration. With the increase of the distance from the city center, the average temperature of each gradient zone and the temperature of each land cover type (forest land, cultivated land, wetland and artificial surface) all showed a decreasing trend. From the city center (tianfu square) to the edge of the study area, the correlation between the landscape pattern index and temperature of each spatial unit changed constantly. In general, when the space unit was no more than 8 km away from the city center and the space unit area was no more than 5.50 km2, the land cover area ratio and the landscape allocation index of landscape level were highly correlated with the temperature. Therefore, the relationship between the urban landscape pattern and the thermal environment was based on gradient change and scale effect. The higher landscape diversity and evenness caused the higher temperature with the gradient change between landscape pattern and the thermal environment.

Key words: landscape pattern, urban thermal environment, remote sensing, Chengdu

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